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Use of Raman spectroscopy to screen diabetes mellitus with machine learning tools: comment
Ivan A Bratchenko1, Dmitry N Artemyev1, Yulia A Khristoforova1
1Laser and Biotechnical Systems Department, Samara National Research University, Moskovskoe shosse 34, Samara 443086, Russia.
Abstract:
This paper comments on the article "Use of Raman spectroscopy to screen diabetes mellitus with machine learning tools" by E. Guevara et al. The authors propose an optical method for noninvasive automated screening of type 2 diabetes mellitus. Despite the high performance of the proposed method, results shown by the authors may be ambiguous due to the overestimation of classification models for Raman spectral data analysis.
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